Multi-Objective Optimization for DC Microgrid Using Combination of NSGA-II Algorithm and Linear Search Method.
Zijun RenXiaohui QuMinzhi WangChangyue ZouPublished in: IEEE J. Emerg. Sel. Topics Circuits Syst. (2023)
Keyphrases
- multi objective optimization
- multi objective
- nsga ii
- pareto set
- optimization algorithm
- pareto optimal set
- multi objective optimization problems
- multi objective evolutionary algorithms
- multi objective genetic algorithm
- evolutionary algorithm
- objective function
- multiobjective evolutionary algorithm
- dynamic programming
- bi objective
- cost function
- differential evolution
- optimization method
- test problems
- uniform design
- pareto optimal
- computationally efficient
- single objective optimization
- multiobjective optimization
- pareto optimal solutions
- computational complexity
- mathematical model
- optimal solution
- computational efficiency
- multi objective genetic algorithms
- genetic algorithm
- convergence rate
- pareto frontier
- search space
- optimization problems
- test functions
- benchmark problems
- min max
- multiple objectives
- multi objective problems
- combinatorial optimization
- particle swarm optimization
- linear programming
- constrained multi objective optimization problems
- evolution strategy
- particle swarm optimization algorithm
- solution space
- knapsack problem
- particle swarm optimization pso
- fitness function
- simulated annealing
- worst case
- np hard